Establish and operationalize AI governance frameworks to ensure responsible, secure, compliant, and value-driven adoption of AI across the enterprise.
Key Responsibilities
· Define and implement AI governance, risk, and compliance frameworks.
· Establish policies, standards, and controls for AI/GenAI solutions.
· Ensure compliance with regulatory, privacy, security, and ethical AI requirements.
· Lead AI risk assessments, model reviews, and approval processes.
· Monitor AI models for performance, bias, explainability, and accountability.
· Drive AI lifecycle governance covering development, deployment, and operations.
· Partner with Legal, Security, Data, Risk, and Business teams to align AI initiatives.
· Develop governance dashboards, KPIs, and executive reporting.
· Stay current with evolving AI regulations and industry best practices.
· Promote responsible AI awareness and governance adoption across the organization.
Required Skills
· Strong understanding of AI/ML, GenAI, LLMs, and MLOps.
· Experience in AI governance, risk management, compliance, or data governance.
· Knowledge of Responsible AI principles, model risk management, and AI regulations.
· Familiarity with frameworks such as NIST AI RMF, ISO 42001, EU AI Act, and Microsoft Responsible AI.
· Excellent stakeholder management and executive communication skills.
Preferred Qualifications
· Bachelor's or Master's degree in Computer Science, Data Science, Risk, or related field.
· 8+ years of experience in AI, data, governance, risk, or compliance roles.
· Relevant certifications in AI, risk, security, or governance preferred.
Success Measures
· AI regulatory compliance and audit readiness.
· Reduction in AI-related risk exposure.
· Adoption of AI governance processes across business units.
· Improved transparency, trust, and business value realization from AI investments.